{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/opt/epics/base-3.15.5/lib/linux-x86_64/libca.so'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import epics\n",
    "\n",
    "epics.ca.find_libca()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "OSError",
     "evalue": "/home/data/anaconda3/bin/../lib/libreadline.so.6: undefined symbol: PC",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/site-packages/epics/ca.py\u001b[0m in \u001b[0;36minitialize_libca\u001b[0;34m()\u001b[0m\n\u001b[1;32m    213\u001b[0m         \u001b[0mload_dll\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mctypes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwindll\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLoadLibrary\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m         \u001b[0mlibca\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_dll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdllname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mChannelAccessException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'loading Epics CA DLL failed: '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/ctypes/__init__.py\u001b[0m in \u001b[0;36mLoadLibrary\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    420\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    421\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mLoadLibrary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 422\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dlltype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    423\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    424\u001b[0m \u001b[0mcdll\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLibraryLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mCDLL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/ctypes/__init__.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, name, mode, handle, use_errno, use_last_error)\u001b[0m\n\u001b[1;32m    342\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 344\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_handle\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_dlopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    345\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    346\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_handle\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mOSError\u001b[0m: /home/data/anaconda3/bin/../lib/libreadline.so.6: undefined symbol: PC"
     ]
    },
    {
     "ename": "ChannelAccessException",
     "evalue": "loading Epics CA DLL failed: /home/data/anaconda3/bin/../lib/libreadline.so.6: undefined symbol: PC",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/site-packages/epics/ca.py\u001b[0m in \u001b[0;36minitialize_libca\u001b[0;34m()\u001b[0m\n\u001b[1;32m    214\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m         \u001b[0mlibca\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_dll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdllname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/ctypes/__init__.py\u001b[0m in \u001b[0;36mLoadLibrary\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    421\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mLoadLibrary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 422\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dlltype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    423\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/ctypes/__init__.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, name, mode, handle, use_errno, use_last_error)\u001b[0m\n\u001b[1;32m    343\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 344\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_handle\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_dlopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    345\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mOSError\u001b[0m: /home/data/anaconda3/bin/../lib/libreadline.so.6: undefined symbol: PC",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mChannelAccessException\u001b[0m                    Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-320ef62cb6a3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcaput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'F10HU-LMOT715:MOT.VAL'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m22.9\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/site-packages/epics/__init__.py\u001b[0m in \u001b[0;36mcaput\u001b[0;34m(pvname, value, wait, timeout)\u001b[0m\n\u001b[1;32m     61\u001b[0m        \u001b[0;34m>>\u001b[0m\u001b[0;34m>\u001b[0m \u001b[0mcaput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'xx.VAL'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3.0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     62\u001b[0m     \"\"\"\n\u001b[0;32m---> 63\u001b[0;31m     \u001b[0mthispv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_pv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpvname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconnect\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     64\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mthispv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnected\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mthispv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwait\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/site-packages/epics/pv.py\u001b[0m in \u001b[0;36mget_pv\u001b[0;34m(pvname, form, connect, context, timeout, **kws)\u001b[0m\n\u001b[1;32m     37\u001b[0m         \u001b[0mcontext\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mca\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minitial_context\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     38\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcontext\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 39\u001b[0;31m             \u001b[0mcontext\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mca\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     40\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mpvname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mform\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0m_PVcache_\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     41\u001b[0m             \u001b[0mthispv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_PVcache_\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpvname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mform\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/site-packages/epics/ca.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m    360\u001b[0m         \u001b[0;32mglobal\u001b[0m \u001b[0mlibca\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    361\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlibca\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 362\u001b[0;31m             \u001b[0minitialize_libca\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    363\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mfcn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    364\u001b[0m     \u001b[0mwrapper\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfcn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/data/anaconda3/lib/python3.6/site-packages/epics/ca.py\u001b[0m in \u001b[0;36minitialize_libca\u001b[0;34m()\u001b[0m\n\u001b[1;32m    215\u001b[0m         \u001b[0mlibca\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_dll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdllname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    216\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 217\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mChannelAccessException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'loading Epics CA DLL failed: '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    218\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    219\u001b[0m     \u001b[0mca_context\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mPREEMPTIVE_CALLBACK\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mChannelAccessException\u001b[0m: loading Epics CA DLL failed: /home/data/anaconda3/bin/../lib/libreadline.so.6: undefined symbol: PC"
     ]
    }
   ],
   "source": [
    "caput('F10HU-LMOT715:MOT.VAL', -22.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: Qt5Agg\n"
     ]
    }
   ],
   "source": [
    "from Devices.DRS4 import DRS4\n",
    "%load_ext autoreload\n",
    "%autoreload\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "drs = DRS4(())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "drs.setTriggerMode()\n",
    "drs.setTriggerLevel(0,100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "drs.setTriggerLevel(0,100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: nbAgg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Program Files\\Anaconda3\\lib\\site-packages\\matplotlib\\backend_bases.py:2445: MatplotlibDeprecationWarning: Using default event loop until function specific to this GUI is implemented\n",
      "  warnings.warn(str, mplDeprecation)\n"
     ]
    },
    {
     "ename": "NotImplementedError",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNotImplementedError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-25-92101ee65b05>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msignal\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m     \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpause\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.001\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32mC:\\Program Files\\Anaconda3\\lib\\site-packages\\matplotlib\\pyplot.py\u001b[0m in \u001b[0;36mpause\u001b[0;34m(interval)\u001b[0m\n\u001b[1;32m    298\u001b[0m                 \u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    299\u001b[0m             \u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mblock\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 300\u001b[0;31m             \u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstart_event_loop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    301\u001b[0m             \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    302\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Program Files\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_nbagg.py\u001b[0m in \u001b[0;36mstart_event_loop\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    192\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    193\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mstart_event_loop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 194\u001b[0;31m         \u001b[0mFigureCanvasBase\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstart_event_loop_default\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    195\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    196\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mstop_event_loop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Program Files\\Anaconda3\\lib\\site-packages\\matplotlib\\backend_bases.py\u001b[0m in \u001b[0;36mstart_event_loop_default\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m   2451\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_looping\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2452\u001b[0m         \u001b[1;32mwhile\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_looping\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mcounter\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mtimestep\u001b[0m \u001b[1;33m<\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2453\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mflush_events\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2454\u001b[0m             \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimestep\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2455\u001b[0m             \u001b[0mcounter\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mC:\\Program Files\\Anaconda3\\lib\\site-packages\\matplotlib\\backend_bases.py\u001b[0m in \u001b[0;36mflush_events\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2400\u001b[0m         \u001b[0mbackends\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mGUIs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2401\u001b[0m         \"\"\"\n\u001b[0;32m-> 2402\u001b[0;31m         \u001b[1;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2403\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2404\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mstart_event_loop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNotImplementedError\u001b[0m: "
     ]
    }
   ],
   "source": [
    "%matplotlib\n",
    "plt.ion()\n",
    "while True:\n",
    "    time , signal = drs.readChannel(0)\n",
    "    plt.figure('hu')\n",
    "    plt.clf()\n",
    "    plt.plot(time, signal)\n",
    "    plt.draw()\n",
    "    plt.pause(0.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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   "mimetype": "text/x-python",
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